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Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Summit and Morgan Counties, Utah

Jonathan Casey Root, Christine A. Rumsey, J.G. Arnold, R.S. Muttiah, R. Srinivasan, P.M. Allen · U.S. Geological Survey
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usgs, geological survey, united states, science, government publication, usgs scientific investigations report, 2025, 5003, estimation, baseflow, flooding, characteristics, east, canyon, creek, summit, morgan, counties, utah

Prepared in cooperation with Snyderville Basin Water Reclamation District

Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Summit and Morgan Counties, Utah

Scientific Investigations Report 2025–5003

U.S. Department of the Interior U.S. Geological Survey

Cover. Front: East Canyon Creek near the East Canyon Water Reclamation Facility, upstream from U.S. Geological Survey (USGS) streamgage 10133800, March 5, 2025. Photograph taken by Brandon Root of the USGS. Back: East Canyon Creek near the Interstate 80 underpass, downstream from USGS streamgage 10133650, March 5, 2025. Photograph taken by Brandon Root of the USGS.

Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Summit and Morgan Counties, Utah By Jonathan Casey Root and Christine A. Rumsey

Prepared in cooperation with Snyderville Basin Water Reclamation District

Scientific Investigations Report 2025–5003

U.S. Department of the Interior U.S. Geological Survey

U.S. Geological Survey, Reston, Virginia: 2025

For more information on the USGS—the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment—visit https://www.usgs.gov or call 1–888–392–8545. For an overview of USGS information products, including maps, imagery, and publications, visit https://store.usgs.gov/ or contact the store at 1–888–275–8747. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner. Suggested citation: Root, J.C., and Rumsey, C.A., 2025, Estimation of baseflow and flooding characteristics for East Canyon Creek, Summit and Morgan Counties, Utah: U.S. Geological Survey Scientific Investigations Report 2025–5003, 29 p., https://doi.org/​10.3133/​sir20255003. Associated data for this publication: Root, J.C., 2025, Baseflow estimation and trend and correlation analysis results for East Canyon Creek, Summit and Morgan Counties, Utah, 2010–2022: U.S. Geological Survey data release, https://doi.org/​10.5066/​P14SJDMX. ISSN 2328-0328 (online)

iii

Acknowledgments The authors acknowledge the Snyderville Water Reclamation District for funding this study and the streamgages that supported it, as well as for providing effluent data from the East Canyon Water Reclamation Facility. Installation and maintenance for streamgages used in this study were done by Ryan Rowland, Martel Fisher, Brandon Root, Andy Karlson, Phil Klebba, Noah Derrick, Lincoln Smith, Manny Guzman, Chris Wilkowske, Mark Danner, Robert Eacret, Paul Downhour, Travis Gibson, and Adam Birken of the U.S. Geological Survey (USGS) Utah Water Science Center. Assistance and guidance in baseflow modeling were provided by David O’Leary and Tom Marston of the USGS Utah Water Science Center and Matthew Miller of the USGS Water Mission Area.

v

Contents Acknowledgments����������������������������������������������������������������������������������������������������������������������������������������iii Abstract�����������������������������������������������������������������������������������������������������������������������������������������������������������1 Introduction����������������������������������������������������������������������������������������������������������������������������������������������������1 Purpose and Scope���������������������������������������������������������������������������������������������������������������������������������������3 Study Area������������������������������������������������������������������������������������������������������������������������������������������������������3 Streamgage Summary�������������������������������������������������������������������������������������������������������������������������3 Snow Telemetry Stations���������������������������������������������������������������������������������������������������������������������5 Methods����������������������������������������������������������������������������������������������������������������������������������������������������������6 Baseflow Estimation by Conductivity Mass Balance Hydrograph Separation��������������������������6 Trend and Correlation Analysis for SNOTEL and Streamflow Data���������������������������������������������9 Annual and Seasonal Trend Analyses��������������������������������������������������������������������������������������9 Annual and Seasonal Correlation Analyses��������������������������������������������������������������������������10 Flood Frequency����������������������������������������������������������������������������������������������������������������������������������11 Results�����������������������������������������������������������������������������������������������������������������������������������������������������������12 Baseflow Estimation by Conductivity Mass Balance Hydrograph Separation������������������������12 Trends in Annual and Seasonal Streamflow, Baseflow, and Climatological Data�������������������12 Correlations in Annual and Seasonal Streamflow, Baseflow, and Climatological Data���������18 Flood Frequency����������������������������������������������������������������������������������������������������������������������������������18 Discussion on Baseflow Estimation, Trend and Correlation Analysis, and Forecasting Streamflow��������������������������������������������������������������������������������������������������������������������������������������21 Baseflow Estimation���������������������������������������������������������������������������������������������������������������������������21 Trends and Correlations in Streamflow, Baseflow, and Climatological Data���������������������������22 Predictive Models for Streamflow and Baseflow Using SNOTEL Data�������������������������������������24 Summary�������������������������������������������������������������������������������������������������������������������������������������������������������25 References Cited�����������������������������������������������������������������������������������������������������������������������������������������25 Glossary���������������������������������������������������������������������������������������������������������������������������������������������������������28

Figures 1. Map showing the location of East Canyon Creek in the Snyderville Basin, Summit and Morgan Counties, Utah������������������������������������������������������������������������������������������2 2. Graphs showing daily streamflow and specific conductance records for U.S. Geological Survey streamgages����������������������������������������������������������������������������������������4 3. Plots showing the relations between mean daily specific conductance and discharge��������������������������������������������������������������������������������������������������������������������������������7 4. Plot showing annual peak streamflow on a logarithmic scale by water year at U.S. Geological Survey streamgages on McLeod Creek and East Canyon Creek�����������11 5. Graphs showing daily streamflow and daily estimated baseflow for U.S. Geological Survey streamgages��������������������������������������������������������������������������������������13 6. Graphs showing mean daily streamflow and estimated baseflow for U.S. Geological Survey streamgages��������������������������������������������������������������������������������������14 7. Graphs showing a time series of snow-water equivalent at the Parleys Summit snow telemetry station and daily baseflow index for U.S. Geological Survey streamgages������������������������������������������������������������������������������������������������������������������15

vi

8. Graphs showing an annual time series for water years 2011–22 for annual mean streamflow and annual mean baseflow for U.S. Geological Survey streamgages������������������������������������������������������������������������������������������������������������������16 9. Graph showing an annual time series for water years 2011–22 illustrating the relations between cumulative precipitation through each water year at the Thaynes Canyon snow telemetry station and monthly mean baseflow for U.S. Geological Survey streamgages��������������������������������������������������������������������������������������17 10. Scatterplots relating monthly precipitation and snow-water equivalent from winter months with spring streamflow and baseflow, with the Theil–Sen line providing an indication of statistical significance for correlation at stations 684 and 814�����������������������������������������������������������������������������������������������������������������������������������19 11. Graphs showing annual exceedance probabilities and recurrence intervals at U.S. Geological Survey streamgages��������������������������������������������������������������������������������������20 12. Scatterplots showing the number of days with a recorded loss of snow-water equivalent at the Thaynes Canyon snow telemetry station with spring streamflow and baseflow����������������������������������������������������������������������������������������������������������23 13. Graph showing the distribution and Theil-Sen slope relation between mean monthly baseflow in May at U.S. Geological Survey streamgage 10133800 on East Canyon Creek and maximum snow-water equivalent in January at snow telemetry station 684������������������������������������������������������������������������������������������������������������������24

Tables 1. Description of U.S. Geological Survey streamgages on East Canyon Creek used in this study������������������������������������������������������������������������������������������������������������������������������������4 2. Description of Natural Resources Conservation Service snow telemetry stations within the East Canyon Creek watershed used in this study���������������������������������6 3. Annual and seasonal baseflow indices and standard deviation at U.S. Geological Survey streamgages 10133650, E Canyon CR BL I-80 Rest Stop NR Park City, UT; 10133800, East Canyon Creek Near Jeremy Ranch, UT; and 10133980, East Canyon Creek AB East Cyn Res NR Morgan, Utah�������������������������������������15 4. Annual exceedance probabilities and recurrence intervals for flood frequency on East Canyon Creek at U.S. Geological Survey streamgages�����������������������������������������20 5. Annual streamflow and baseflow volumes for the periods of record at U.S. Geological Survey streamgages��������������������������������������������������������������������������������������21

vii

Conversion Factors U.S. customary units to International System of Units

Multiply

By

To obtain

Length inch (in.)

25.4

millimeter (mm)

foot (ft)

0.3048

meter (m)

mile (mi)

1.609

kilometer (km)

square mile (mi2)

2.590

square kilometer (km2)

yard (yd)

0.9144

meter (m)

Volume acre-foot (acre-ft)

1,233

cubic meter (m3)

Flow rate cubic foot per second (ft3/s)

0.02832

cubic meter per second (m3/s)

million gallons per day (Mgal/d)

0.04381

cubic meter per second (m3/s)

International System of Units to U.S. customary units

Multiply

By

To obtain

Length centimeter (cm)

0.3937

inch (in.)

millimeter (mm)

0.03937

inch (in.)

kilometer (km)

0.6214

mile (mi)

Temperature in degrees Celsius (°C) may be converted to degrees Fahrenheit (°F) as follows: °F = (1.8 × °C) + 32.

Datums Horizontal coordinate information is referenced to the North American Datum of 1983 (NAD 83). Altitude, as used in this report, refers to distance above the vertical datum.

Supplemental Information Specific conductance is given in microsiemens per centimeter at 25 degrees Celsius (µS/cm at 25 °C). Concentrations of chemical constituents in water are given in milligrams per liter (mg/L). A water year is the 12-month period from October 1 through September 30 of the following year and is designated by the calendar year in which it ends.

viii

Abbreviations <

less than

AEP

annual exceedance probability

BFI

baseflow index

ECWRF

East Canyon Water Reclamation Facility

I-80

Interstate 80

NA

not assessed

Q

discharge

SBWRD

Snyderville Basin Water Reclamation District

SC

specific conductance

SNOTEL

snow telemetry

SWE

snow-water equivalent

TDS

total dissolved solids

USGS

U.S. Geological Survey

WY

water year

Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Summit and Morgan Counties, Utah By Jonathan Casey Root and Christine A. Rumsey

Abstract

Introduction

An improved understanding of hydrologic responses to changing climatic conditions is needed to better inform water management practices. East Canyon Creek, a perennial, snowmelt-dominated stream in the Wasatch Mountains of northern Utah, is subjected to increasing development and demands on water in the Snyderville Basin and adjacent areas. In this study, streamflow and specific conductance measured at three U.S. Geological Survey streamgages on East Canyon Creek were used to estimate daily baseflow for water years 2011–22. Trends in these estimates and correlations with climate data from two Natural Resource Conservation Service snow telemetry (SNOTEL) stations within the Snyderville Basin above East Canyon Reservoir, were quantified and reported. Peak annual streamflow also was assessed for flood potential on the study reach of East Canyon Creek. The hydrograph separations showed consistent baseflow indices among all sites, with a larger baseflow component during the fall–spring period (September–April; baseflow indices approximately equal to [≈] 0.751–0.835) and smaller component during the summer period (May–August; baseflow indices ≈ 0.428–0.532). In-stream specific conductance during spring (February–April) was influenced by road salt application, limiting the utility of the hydrograph separation approach. Annual streamflow and climate data were evaluated for trends using the nonparametric Mann–Kendall test, with inconclusive results. Related tests for trends, the Seasonal and Regional Kendall tests, were used to evaluate data at monthly timesteps and indicated a decreasing trend in total streamflow and baseflow at all streamgages. The rank-based Kendall’s tau test for correlation was used to measure the ordinal association with climatic data at co-located SNOTEL stations. Total streamflow and baseflow were strongly correlated with precipitation and snow-water equivalent. By incorporating a predictive regression model, the nonparametric Theil–Sen line, these correlations could support the development of streamflow forecast models using climate data from SNOTEL stations. Such models would provide water managers with tools to help make proactive decisions, such as reservoir or water reclamation releases and curtailment of withdrawals, in response to regional drought or varying snowpack and spring runoff in a given year.

East Canyon Creek is a perennial, snowmelt-dominated stream in the Snyderville Basin of Summit and Morgan Counties, Utah (fig. 1). Its headwaters begin as McLeod Creek in the eastern slopes of the Wasatch Mountains before joining Kimball Creek to form East Canyon Creek below the Interstate 80 (I-80) overpass where it flows north-northwest into East Canyon Reservoir. The reach between the headwaters and East Canyon Reservoir includes three U.S. Geological Survey (USGS) streamgages that monitor streamflow and specific conductance (SC). The Snyderville Basin Water Reclamation District (SBWRD) provides wastewater collection and reclamation services for Park City, Utah, and the surrounding areas and operates a water reclamation facility on East Canyon Creek near Jeremy Ranch. Baseflow represents the groundwater fraction of total streamflow that sustains flow between snowmelt and precipitation events. The baseflow component in East Canyon Creek was estimated for this study by means of a conductivity mass balance chemical hydrograph separation approach applied to SC and discharge data collected at USGS streamgages above (USGS streamgage 10133650; U.S. Geological Survey, 2024) and below (USGS streamgages 10133800 and 10133980; U.S. Geological Survey, 2024) the East Canyon Water Reclamation Facility (ECWRF; Pinder and Jones, 1969; Miller and others, 2014). Baseflow in the Upper Colorado River Basin, which includes the proximal eastern slopes of the Wasatch Mountains, is estimated, on average, to constitute 56 percent of total streamflow (Miller and others, 2016), providing a well-studied and analogous hydrological system for comparison. Quantitative baseflow estimates may be used to inform water management, provide reasonable forecasts for seasonal streamflow, and enable water managers to take proactive actions in response to seasonal climate fluctuations (Reay and others, 1992; Arnold and others, 2000; Levin and others, 2023). Accurate flood frequency and magnitude estimates can be used in support of flood risk management and monitoring changes in hydrologic behavior. Guidelines to determine flood frequency have been provided by the USGS and other federal agencies since 1967 (U.S. Water Resources Council, 1967) through the time of this study (England and others, 2018).

2   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah 111°50'

111°40'

111°30'

Morgan 84

80

Ea s t C a n

41°00'

yo n

ECHO RESERVOIR

C

re

15

ek

MORGAN COUNTY DAVIS COUNTY

Coalville

Wasatch Mountains

EAST CANYON RESERVOIR

C

3 40°50'

SUMMIT COUNTY

ROCKPORT RESERVOIR

B

SALT LAKE COUNTY

Ea

EAST CANYON WATER RECLAMATION FACILITY Jeremy Ranch

on

ree

C

WYOMING

GREAT SALT LAKE

Study area

40°40'

UTAH

Snyderville

COLORADO

NEVADA

Ca

ny

80

st

1 IDAHO

k

A

Kimball Creek

D

McLeod Creek

Park City

2 ARIZONA

NEW MEXICO

Base modified from U.S. Geological Survey and other Federal and State digital data, various scales; Universal Transverse Mercator, zone 12 north; North American Datum of 1983

189

WASATCH COUNTY 0 0

2.5 2.5

JORDANELLE RESERVOIR

5

7.5

10 MILES

5

7.5

10 KILOMETERS

1

Natural Resources Conservation Service SNOTEL station

EXPLANATION Snyderville Basin Water Reclamation service area

A

U.S. Geological Survey streamgage

Watershed boundary

Figure 1. Location of East Canyon Creek in the Snyderville Basin, Summit and Morgan Counties, Utah. Streamlines and watershed boundaries from U.S. Geological Survey (USGS) National Hydrography Dataset (NHD) Plus High Resolution dataset (U.S. Geological Survey, 2022). Political boundaries and locations modified from USGS and other Federal and State geospatial data. Horizontal coordinates referenced to the North American Datum of 1983 with the National Adjustment of 2011. The snow telemetry (SNOTEL) stations (U.S. Department of Agriculture, National Water and Climate Center, 2025) are labeled with numbers: (1) Parleys Summit (684); (2) Thaynes Canyon (814); and (3) Hardscrabble (896; not included in study). The USGS streamgages (U.S. Geological Survey, 2024) are labeled with letters: (A) E Canyon CR BL I-80 Rest Stop NR Park City, UT (USGS streamgage 10133650); (B) East Canyon Creek Near Jeremy Ranch, UT (USGS streamgage 10133800); (C) East Canyon Creek AB East Cyn Res NR Morgan, Utah (USGS streamgage 10133980); and (D) Mcleod Creek Near Park City, UT (USGS streamgage 10133600, not included in baseflow estimation).

Study Area  3 Methods to estimate flood frequency and magnitude incorporate annual peak streamflow to estimate recurrence probability. Flood frequency analyses can be applied to flood risk management and damage abatement, though flooding also may indicate changes in watershed hydrology such as frequency of rain-on-snow events, resiliency of baseflow, and climate change (Jenicek and others, 2016; Blahušiaková and others, 2020; Myers and others, 2023). With respect to the relation between baseflow in East Canyon Creek and flood frequency, the magnitude of flooding during spring snowmelt and runoff may be affected because baseflow begins to increase earlier in the spring (Berghuijs and Slater, 2023). The conductivity mass balance method is best applied to streams and rivers with an inverse relation between discharge and SC, ideally in the absence of anthropogenic influences (Miller and others, 2014; Rumsey and others, 2015). Although the most upstream streamgage in the watershed with continuous SC monitoring (USGS streamgage 10133650, E Canyon CR BL I-80 Rest Stop NR Park City, UT; U.S. Geological Survey, 2024) is exposed to sources for contaminants, such as road salt or effluent from water reclamation facilities, the period of flow expected to be most affected occurs during spring runoff.

Purpose and Scope The USGS, in cooperation with the SBWRD, evaluated the hydrologic characteristics of flows in East Canyon Creek to provide a contextual basis to better inform water management practices. The purposes of this report were to provide estimates of baseflow; describe long-term, seasonal, and year‐to‐year fluctuations in streamflow and baseflow; discuss relations between seasonal climate proxies, including temperature and snowpack, and streamgage data; and relate flood frequency and magnitude to anthropogenic and climatic influences. The approach for this study includes compiling existing streamgage data collected at sites in the Snyderville Basin to (1) estimate baseflow using chemical hydrograph separation methods with daily streamflow and continuous SC data, (2) compare streamflow and baseflow with snow telemetry (SNOTEL) stations within the East Canyon Creek watershed to develop relations between streamflow and snowpack and timing of snowmelt, and (3) use long-term trends in streamflow, including magnitude, timing, and frequency of peak streamflow in East Canyon Creek, to evaluate the 100-year peak flow for East Canyon Creek at the ECWRF and the associated stage and inundated area.

Study Area The reach of East Canyon Creek in this study flows through Summit and Morgan Counties, Utah, and north of Park City, Utah (fig. 1). East Canyon Creek is sourced from the east-facing slopes of the Wasatch Mountains and begins as McLeod Creek, which receives water from snowmelt and abandoned mining sites associated with the Spiro Tunnel. The beginning of East Canyon Creek is considered (in this report and in Wilkowske, 2005) to be where Kimball Creek joins McLeod Creek just upstream from USGS streamgage 10133650 (E Canyon CR BL I-80 Rest Stop NR Park City, Utah). A previous study of the Snyderville Basin estimated that precipitation comprises as much as 80 percent of total groundwater recharge, and total dissolved solids (TDS) concentrations in groundwater are between 200 and 600 milligrams per liter (mg/L) as a result of mixing with water from the Spiro Tunnel (Brooks and others, 1998). The ECWRF is a wastewater treatment facility on East Canyon Creek with a capacity of 4.0 million gallons per day (Mgal/d) and treats wastewater from Park City and western Snyderville Basin. Effluent, or treated wastewater, is returned to East Canyon Creek just upstream from USGS streamgage 10133800 (East Canyon Creek Near Jeremy Ranch, UT). East Canyon Creek gains water from small perennial streams, springs, and groundwater before flowing into East Canyon Reservoir at the terminus of the East Canyon Creek watershed (hydrologic unit 1602010201). Below East Canyon Reservoir, East Canyon Creek flows into the Weber River and, ultimately, the Great Salt Lake.

Streamgage Summary This study incorporated daily streamgage data for baseflow and flood-frequency modeling from four streamgages in the study area (table 1). The conductivity mass balance method used to estimate baseflow requires daily streamflow and SC data which are available at three streamgages above East Canyon Reservoir on East Canyon Creek (fig. 2): (1) USGS streamgage 10133650, E Canyon CR BL I-80 Rest Stop NR Park City, UT; (2) USGS streamgage 10133800 East Canyon Creek Near Jeremy Ranch, UT; and (3) USGS streamgage 10133980 East Canyon Creek AB East Cyn Res NR Morgan, Utah (U.S. Geological Survey, 2024). Effluent data from the ECWRF (Root, 2025), including monthly TDS and daily discharge, also were incorporated into the calculation at downstream USGS streamgages 10133800 and 10133980. The method used to determine flood frequency, namely the Expected Moments Algorithm (England and others, 2018), requires only discharge monitoring, allowing for the streamgage on McLeod Creek to be included in the analysis (USGS streamgage 10133600, Mcleod Creek Near Park City, UT).

4   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah Table 1. Description of U.S. Geological Survey streamgages on East Canyon Creek used in this study (U.S. Geological Survey, 2024). [ID, identification; N/A, not applicable; USGS, U.S. Geological Survey; yyyy-mm-dd, year-month-day]

USGS station name

Latitude

Longitude

Discharge begin date (yyyy-mm-dd)

Specific conductance begin date (yyyy-mm-dd)

10133600

Mcleod Creek Near Park City, UT

40.6880389

−111.5337194

1990-10-01

N/A

10133650

E Canyon CR BL I-80 Rest Stop NR Park City, UT

40.7238375

−111.5196438

2002-11-07

2010-05-18

10133800

East Canyon Creek Near Jeremy Ranch, UT

40.7596698

−111.5640912

2001-10-01

2001-10-18

10133980

East Canyon Creek AB East Cyn Res NR Morgan, UT

40.8695861

−111.5866222

2007-07-06

2007-07-12

250

Streamflow, in cubic feet per second

200

E Canyon CR (USGS station 10133650, BL I-80 Rest Stop NR Park City, UT)

2,000

A

1,600

150

1,200

100

800

50

400 0

0 400 320

East Canyon Creek (USGS station 10133800, Near Jeremy Ranch, UT)

4,000

B

3,200

240

2,400

160

1,600

80

800

0 750 600

0 East Canyon Creek (USGS station 10133980, AB East Cyn Res NR Morgan, Utah)

3,200

C

2,800

450

2,100

300

1,400

150

700

0 2009

Specific conductance, in microsiemens per centimeter at 25 degrees Celsius

USGS station ID

2011

2013

2015

2017

2019

2021

0 2023

Water year

EXPLANATION Daily streamflow

Daily specific conductance

Figure 2. Daily streamflow (blue) and specific conductance (green) records for U.S. Geological Survey (USGS) streamgages (U.S. Geological Survey, 2024) at A, E Canyon CR BL I-80 Rest Stop NR Park City, UT (10133650); B, East Canyon Creek Near Jeremy Ranch, UT (10133800); and C, East Canyon Creek AB East Cyn Res NR Morgan, Utah (10133980). These streamgages are used to estimate baseflow on East Canyon Creek. A water year is the 12-month period from October 1 through September 30 of the following year and is designated by the calendar year in which it ends.

Study Area  5 The most upstream streamgage in the reach with daily discharge and SC is USGS streamgage 10133650 (E Canyon CR BL I-80 Rest Stop NR Park City, UT). The streamgage is located immediately downstream from where I-80 crosses over McLeod Creek and below the confluence with Kimball Creek and represents a drainage area of 42.1 square miles (mi2). The site was established on October 31, 2002, for continuous discharge monitoring and discrete data collection, which began on November 7, 2002. The streamgage was updated in May 2010 to continuously measure SC, pH, and dissolved oxygen. The streambed comprises cobbles and gravel at the location of the streamgage, and the channel emerges from two 8-foot (ft) culverts approximately 100 ft upstream. A thick growth of riparian vegetation and other aquatic plants typically develops along the streambank during the late summer and early fall months before moderate to heavy ice builds over the stream during the winter. Because McLeod and Kimball Creeks join just upstream and may not be fully mixed at the streamgage, SC values may be skewed during high-flow events. This streamgage is likely exposed to anthropogenic contaminants including road salt from I-80 (Brooks and others, 1998). U.S. Geological Survey streamgage 10133800 (East Canyon Creek Near Jeremy Ranch, UT) is approximately 4 miles (mi) downstream from USGS streamgage 10133650 and has a drainage area of 57.2 mi2. The streamgage is located on the Jeremy Ranch Golf and Country Club property just downstream from a culvert and the ECWRF. This streamgage records continuous discharge, SC, pH, water temperature, and dissolved oxygen. The streamgage was moved approximately 100 yards downstream in April 2016 due to poor mixing between ECWRF releases and natural streamflow at the site. The streambed comprises mostly cobbles, and the channel is straight above and below the streamgage as the stream flows from an 8-ft culvert. The streambanks are steep and covered with large rocks and vegetation including willows. Ice does not typically build during the winter due to constant warm-water releases from the ECWRF. U.S. Geological Survey streamgage 10133980 (East Canyon Creek AB East Cyn Res NR Morgan, Utah) is approximately 10 mi downstream from USGS streamgage 10133800. This streamgage records continuous discharge, SC, pH, dissolved oxygen, and water temperature and is immediately upstream from East Canyon Reservoir on East Canyon Resort property and represents a 107 mi2 drainage

area. The streambed comprises cobbles at the site of the streamgage, with a channel that is straight above and below. A bridge is immediately upstream and constricts flow at the site of the streamgage. The banks are steep and covered with large rocks, willows, and other vegetation. Considerable ice builds along the shore during the winter months, typically between December and February. U.S. Geological Survey streamgage 10133600 (Mcleod Creek Near Park City, UT) is the most upstream streamgage in the watershed and is approximately 4 mi upstream from USGS streamgage 10133650. The streamgage has measured daily discharge since October 1990 but is not used for baseflow estimation in this study because SC is not measured at this site. The streambed consists of gravel and small- to medium-sized cobbles, and the channels are heavily vegetated with small willows that can constrict the channel and inhibit flow at the streamgage.

Snow Telemetry Stations The Natural Resources Conservation Service operates two SNOTEL stations located within the study area above East Canyon Reservoir at Parleys Summit (site no. 684; 7,585 ft in altitude) and Thaynes Canyon (site no. 814; 9,230 ft in altitude; table 2). The Parleys Summit station has reported snow-water equivalent (SWE), daily precipitation, and cumulative precipitation since October 1, 1978; minimum, maximum, and mean daily temperature data were added on May 5, 2003. Thaynes Canyon has reported SWE, daily precipitation, and cumulative precipitation since October 1, 1987; minimum, maximum, and mean daily temperature data were added on June 21, 2004. The Parleys Summit and Thaynes Canyon SNOTEL station data may be accessed through the U.S. Department of Agriculture (USDA) Natural Resource Conservation Service (NRCS) National Water and Climate Center (NWCC) Air and Water Database website at https://w​cc.sc.egov​.usda.gov/​nwcc/​site?​sitenum=​684 and https://w​cc.sc.egov​.usda.gov/​nwcc/​site?​sitenum=​814, respectively (U.S. Department of Agriculture, National Water and Climate Center, 2025). A third site, the Hardscrabble SNOTEL station (site no. 896; 7,250 ft in altitude), drains into East Canyon Creek below East Canyon Reservoir and is not considered for this study.

6   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah Table 2. Description of Natural Resources Conservation Service snow telemetry stations (U.S. Department of Agriculture, National Water and Climate Center, 2025) within the East Canyon Creek watershed used in this study. [ID, identification; SNOTEL, snow telemetry; yyyy-mm-dd, year-month-day]

Site name

Latitude

Longitude

Altitude (feet)

Snow-water equivalent begin date (yyyy-mm-dd)

Precipitation begin date (yyyy-mm-dd)

Temperature begin date (yyyy-mm-dd)

684

Parleys Summit

40.76184

−111.62917

7,585

1978-10-01

1978-10-01

2003-05-03

814

Thaynes Canyon

40.62350

−111.53322

9,230

1987-10-01

1987-10-01

2004-06-21

SNOTEL site ID

Methods The baseflow component in East Canyon Creek was estimated using conductivity mass balance hydrograph separation (Pinder and Jones, 1969; Miller and others, 2014; Rumsey and others, 2015, 2020) at USGS streamgages above (USGS streamgage 10133650) and below (USGS streamgages 10133800 and 10133980) the ECWRF, using approaches similar to those in related studies. Effluent data from the ECWRF (Root, 2025), including monthly TDS and daily discharge, were incorporated into the model at the two downstream sites (USGS streamgages 10133800 and 10133980). Long-term trends in streamflow, including baseflow, magnitude, timing, and frequency of peak streamflows in East Canyon Creek, were evaluated at USGS streamgages 10133650, 10133800, and 10133980 on East Canyon Creek and 10133600 on McLeod Creek (fig. 1). Methods used to determine flood frequency, namely the Expected Moments Algorithm, are outlined in USGS Bulletin 17C (England and others, 2018). A companion software program developed by the USGS, PeakFQ (Veilleux and others, 2014), uses annual peak flows to calculate annual exceedance probabilities. Although the East Canyon Creek streamgage records are relatively short, with the earliest dating to 2001, they still exceed the minimum suggested record length of 10 years (U.S. Geological Survey, 2019) and produce recurrence intervals with adequate confidence. The McLeod Creek streamgage (USGS streamgage 10133600) has been active since 1991 and provides a more robust annual exceedance probability (AEP) graph.

Baseflow Estimation by Conductivity Mass Balance Hydrograph Separation The baseflow component in East Canyon Creek was estimated at a daily timestep using a conductivity mass balance hydrograph separation approach. Streamflow (Q) and

SC data required for hydrograph separation were obtained from the USGS National Water Information System (NWIS) online database (U.S. Geological Survey, 2024). Each respective streamgage record was truncated to the nearest complete water year (WY) on record to reduce seasonal bias. A water year is the 12-month period from October 1 through September 30 of the following year and is designated by the calendar year in which it ends. For sites 10133800 and 10133980, which are downstream from the ECWRF, the records are truncated from October 1, 2008, to September 15, 2022, to coincide with the earliest and last available effluent data. The conductivity mass balance approach is best suited for sites that meet criteria outlined by Miller and others (2014) and Rumsey and others (2015). The summarized criteria that apply to this study include (1) an inverse relation between Q and SC as described by a power function; (2) annual peak discharge coinciding with snowmelt runoff during the spring–summer months, typically between March and June, and is an order of magnitude greater than low-flow conditions; (3) a wide range of SC values throughout the year, with the minimum approaching the runoff end-member; and (4) streamgages must be at least 2 kilometers (km) downstream from a reservoir. The streamgages used in this study did not fully satisfy the first criteria, so additional steps were taken to compensate. With respect to the first criteria, Q and SC showed an inverse relation only during the summer (May–August) and fall–winter months (September–January), with an early spring runoff (February–April) deviation (fig. 3) that may be related to anthropogenic contaminants, including road salt. Data during this spring runoff interval were excluded from the baseflow estimation to reduce the potential anthropogenic influence on the model during expected periods of runoff and characterize a more natural representation of East Canyon Creek.

Methods  7 1,200

Mean daily specific conductance, in microsiemens per centimeter at 25 degrees Celsius

A

Specific conductance

Idealized distrubtion of an inverse relationship for chemical hydrograph separation

B

1,000

800

600 E Canyon CR (USGS station 10133650, BL I-80 Rest Stop NR Park City, UT)

400

0

15

Discharge 2,000

1,600

Mean daily specific conductance, in microsiemens per centimeter at 25 degrees Celsius

Mean daily specific conductance, in microsiemens per centimeter at 25 degrees Celsius

1,200

800 East Canyon Creek (USGS station 10133800, Near Jeremy Ranch, UT)

400

0

25

50

Mean daily streamflow, in cubic feet per second

75

100

45

60

120

160

D

C

1,600

30

Mean daily streamflow, in cubic feet per second

1,200

800

East Canyon Creek (USGS station 10133980, AB East Cyn Res NR Morgan, Utah)

400

0

40

80

Mean daily streamflow, in cubic feet per second

EXPLANATION Fall–winter (September 1 through January 31) Spring runoff (February 1 through April 30) Summer (May 1 through August 31)

Figure 3. Relations between mean daily specific conductance (SC) and discharge (Q). A, The conductivity mass balance approach is best applied in rivers and streams that have an inverse relation between Q and SC, as indicated in this idealized graphic (Miller and others, 2014; Rumsey and others, 2015). The mean daily relations between Q and SC are shown for U.S. Geological Survey (USGS) streamgages B, 10133650 (E Canyon CR BL I-80 Rest Stop NR Park City, UT); C, 10133800 (East Canyon Creek Near Jeremy Ranch, UT); and D, 10133980 (East Canyon Creek AB East Cyn Res NR Morgan, Utah). During runoff (February–April), a distinct trend separate from the summer, fall, and winter is present at all streamgages (U.S. Geological Survey, 2024).

8   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah Daily baseflow was estimated for the period of record at each streamgage using a two-component mass balance approach (Pinder and Jones, 1969):

S​CGAGE ​  ​​  S​CRO ​  ​​ ​​Q​ BF​​ ​= ​Q​ GAGE​​​(___________    ​ ​ ​​ S​CBF ​  ​​  S​CRO ​  ​​ ) where

QBF

(1)

is the daily estimated baseflow, in cubic foot per second (ft3/s);

QGAGE

is the measured daily mean stream discharge of East Canyon Creek from the streamgage, in ft3/s; at USGS streamgage 10133650, this value is from the streamgage record (U.S. Geological Survey, 2024); at USGS streamgages 10133800 and 10133980, the value is the streamgage discharge minus the daily mean of effluent discharge from the ECWRF (QECC from eq. 2);

SCGAGE

is the measured daily mean SC of East Canyon Creek from the streamgage, in microsiemens per centimeters (µS/cm) at 25 degrees Celsius (°C); at USGS streamgage 10133650, this value is from the streamgage record (U.S. Geological Survey, 2024); at USGS streamgages 10133800 and 10133980, the value is solved using a simple mass balance equation (SCECC from eq. 2);

SCRO

is the estimated SC of the runoff end-member, in µS/cm at 25 °C; and

SCBF

is the estimated SC of the baseflow end-member, in µS/cm at 25 °C.

The USGS streamgage below I-80 (10133650) uses only streamgage Q and SC data. Effluent from the ECWRF impacts both the Q and SC records at downstream USGS streamgages (10133800 and 10133980) and is accounted for by a nested mass balance of effluent Q and SC. Monthly total effluent volumes were converted to daily mean effluent Q (in ft3/s) by linear interpolation. Monthly mean effluent TDS (in mg/L) were linearly interpolated to daily mean effluent TDS and were then converted to SC (in µS/cm at 25 °C) using the ratio of TDS to SC, which is typically between 0.5 and 0.9 (Hem, 1985; U.S. Geological Survey, 2019). Due to the proximity of USGS station 10133800 and the ECWRF, the ratio between TDS to SC was established by comparing days where the effluent discharge was nearly equal to the measured discharge of East Canyon Creek. The ratio of TDS to SC on those days was approximately 0.7; this ratio was used to estimate SC for the remainder of the TDS record. Streamgage Q and SC data from the two East Canyon Creek stations (USGS streamgages 10133800 and 10133980), downstream from the ECWRF, were corrected for effluent Q and SC by mass balance using the equations below: (QGAGE × SCGAGE) = (QECC × SCECC) + (QEFF × SCEFF)(2) and QGAGE = QECC + QEFF(3) where QGAGE SCGAGE

is the measured daily mean stream discharge of East Canyon Creek from the streamgage, in ft3/s; is the measured daily mean SC of East Canyon Creek from the streamgage, in µS/cm at 25 °C;

QECC

is the corrected daily mean stream discharge of East Canyon Creek with effluent removed from the streamgage, in ft3/s, and may be calculated by arranging equation 3 where QECC = QGAGE − QEFF;

SCECC

is the corrected daily mean SC of East Canyon Creek with effluent from the streamgage, in µS/cm at 25 °C, and may be calculated by arranging equation 2 where

​  ​​  × S​CGAGE ​  ​  ​​  × S​CEFF ​  ​​)​ (​ ​QGAGE )​​ ​ − ​(​QEFF ​ S​CECC ​  ​​ ​= ​_____________________________           ​​; ​  ​​×)​ (​ ​QECC QEFF

is the daily mean discharge of effluent from the ECWRF, in ft3/s; and

SCEFF

is the estimated daily mean SC of effluent from the ECWRF, in µS/cm at 25 °C.

Methods  9 By accounting for effluent in the streamgage record, the modified conductivity mass balance was used for baseflow estimation at USGS streamgages 10133800 and 10133980:

S​CECC ​  ​​  S​CRO ​  ​​ ​​QBF ​  ​​ ​= ​Q​ ECC​​​(_ ​ ​ ​​ S​CBF ​  ​​  S​CRO ​  ​​ ) where

(4)

QBF

is the daily baseflow, in ft3/s;

QECC

is the corrected daily mean stream discharge of East Canyon Creek with effluent removed from the streamgage, in ft3/s, and is equal to QGAGE − QEFF;

SCECC

is the corrected daily mean SC of East Canyon Creek with effluent from the streamgage, in µS/cm at 25 °C, and may be calculated by arranging equation 2 where

​  ​​  × S​CGAGE ​  ​  ​​  × S​CEFF ​  )​​ ​ (​ ​QGAGE )​​ ​ − ​(​QEFF ​S​CECC ​  ​​ ​= ​_____________________________           ​​; ​  ​​×)​ (​ ​QECC SCRO

is the estimated SC of the runoff end-member, in µS/cm at 25 °C; and

SCBF

is the estimated SC of the baseflow end-member, in µS/cm at 25 °C.

The runoff end-member (SCRO) represents an estimate of the low-SC surface or near-surface waters that flow into East Canyon Creek and has not been measured in the Wasatch Mountains. Another study in the Upper Colorado River Basin estimated the SCRO in snowmelt-dominated hydrological systems at 33 µS/cm at 25 °C (Miller and others, 2014). Because Miller and others (2014) was based on high-elevation catchments that drain small watersheds during runoff analogous to the Snyderville Basin, 33 µS/cm at 25 °C runoff was used in this study as the SCRO. The annual estimate of baseflow SC was estimated by calculating the 95th percentile of daily SC values (SCGAGE for 10133650, eq. 1; SCECC for 10133800 and 10133980, eqs. 2, 4) for each water year on record. This annual baseflow SC omitted data from the spring runoff period (February–April) because that period deviates from the inverse relation of SC and Q. The annual 95th percentile estimates of SCBF were linearly interpolated to derive a daily baseflow end-member (SCBF; eq. 1) for the period of record, including during the spring runoff months. Mean daily values for baseflow and streamflow are the mean values of each day of the year from January 1 to December 31 over the period of record. The baseflow index (BFI) is the ratio of total baseflow to total

streamflow and was calculated annually for each streamgage. Seasonal BFI also was determined in order to highlight the effect of varying hydrologic conditions on baseflow. The conductivity mass balance method includes three assumptions: (1) no additional streamflow inputs beyond those described above contribute to streamflow; (2) SCRO is a constant; and (3) SCRO and SCBF are significantly different (Sklash and Farvolden, 1979; Miller and others, 2014). For streamgages affected by effluent from the ECWRF, SCRO, and SCBF are further assumed to be significantly different than SCEFF.

Trend and Correlation Analysis for SNOTEL and Streamflow Data Daily data for WYs 2011–22 from SNOTEL and streamgage records were used to develop annual and monthly trends and correlations. Only datasets with years that include data for every month in a water year were considered. For SNOTEL data, daily metrics for SWE, precipitation, and temperature were used. Daily SNOTEL data were compiled using the snotelr package for R (Hufkens, 2022). Annual and monthly variables derived from streamgage data include mean discharge, mean baseflow, and mean BFI. These data are available as a data release at https://doi.org/​10.5066/​P14SJDMX (Root, 2025).

Annual and Seasonal Trend Analyses Changes in snowpack, precipitation, and temperature at SNOTEL stations and in streamflow and baseflow at streamgages were assessed for trends independently and with respect to one another. Data from two SNOTEL stations within the East Canyon Creek watershed at Parleys Summit (station 684) and Thaynes Canyon (station 814) were considered, and only streamgages on East Canyon Creek that had estimated baseflow were included in the trend tests (USGS streamgages 10133650, 10133800, and 10133980). Daily data at SNOTEL stations and streamgages were log transformed and tested for annual and seasonal trends. The nonparametric Mann–Kendall test for trend (Mann, 1945; Helsel and others, 2020a) determines the significance of change in annual data over time. The rkt package for R (version 4.2.1; Marchetto, 2021; R Core Team, 2022) was used for the Mann–Kendall test. Corrections for autocorrelation were made using the zyp package for R (Bronaugh and others, 2023). The annual SNOTEL data tested were peak SWE, day of year of peak SWE, cumulative precipitation, cumulative rain, percentage of snow, days between peak SWE and last melt, and melt rate; annual streamgage data tested were mean streamflow, mean baseflow, and BFI.

10   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah Seasonal and regional tests for trend were done for SNOTEL and streamgage data. The Seasonal Kendall test (Hirsch and others, 1982; Helsel and others, 2020a) accounted for seasonality by performing the Mann–Kendall tests on each variable at a defined timestep and then combining the result. Monthly timesteps were used for all seasonal trend tests. To test for trends in serially correlated SNOTEL and streamgage data, regional covariates from both datasets were incorporated into this analysis at seasonal timesteps. This trend test, the Regional Kendall test (Helsel and Frans, 2006; Helsel and others, 2020a), also is based on the Mann–Kendall test and operates in the same manner as the Seasonal Kendall test but between response data from different sites. The Seasonal and Regional Kendall tests were done using the rkt package in R (version 4.2.1; Marchetto, 2021; R Core Team, 2022) which includes an onboard correction for autocorrelation and allows for the inclusion of a response covariable. In instances with a covariable, the test is considered a partial trend test in which the critical region, or the set of values for the test statistic for which the null hypothesis is rejected, is determined by the conditional distribution of Mann–Kendall tests for monotonic trend within a set of other Mann–Kendall tests. Because these tests include comparing streamgage-to-streamgage or SNOTEL-to-SNOTEL as well as streamgage-to-SNOTEL at monthly timesteps, they may be considered a combined Seasonal–Regional Kendall test. Monthly SNOTEL data of maximum SWE, mean maximum daily temperature, total days of loss of SWE, cumulative monthly precipitation, and the cumulative annual precipitation through the month in the water year were tested for trends; monthly mean streamflow, baseflow, and BFI were tested for trends at streamgages. Results of the trend tests include uncorrected (rkt) and corrected (zyp) p-values and Kendall’s tau which is a measure of the relation between two ranked variables. The Theil–Sen line is a robust nonparametric regression based on the median of one variable given another (Theil, 1950; Sen, 1968; Helsel and others, 2020a). The Theil–Sen slope was calculated only for trend tests without a covariable and may be used to quantify the trend per unit time. For annual trend tests only, the zyp package provides upper and lower 95-percent confidence intervals for the Thiel–Sen slope and y-intercept.

Annual and Seasonal Correlation Analyses Kendall’s tau test for correlation was used to determine the ordinal association between annual and seasonal variables in streamgage and SNOTEL data (Helsel and others, 2020a). This correlation method is a rank-based test that measures the strength of a monotonic relation between two variables. Due to the short overlapping record (WYs 2011–22), Kendall’s tau test for correlation is well suited for this study because it resists the influence of outliers. For seasonal correlation, each variable was separated by month. Each month, for every variable of SNOTEL and streamflow, data were tested against one another to produce p-values and Kendall’s tau values. Of the 12,960 different possible combinations, tests could not be performed on 972 pairs due to unsuitable data such as testing against peak SWE during the summer months. A strong linear correlation generally corresponds with Kendall’s tau values of 0.7 or greater (Helsel and others, 2020a). The Kendall’s tau test for correlation was done using the cor.test function, part of the base R package (version 4.2.1; R Core Team, 2022), to produce two-sided p-values with a continuity correction applied. Correlation tests results were organized by p-value and Kendall’s tau as first-order metrics to determine the strongest correlations between datasets. The Theil–Sen line was calculated for all correlation pairs to develop predictive relations between each data pair, such as streamgage and SNOTEL data. Because it is closely related to Kendall’s tau, the Theil–Sen line is not strongly affected by outliers. The senth script published with the supporting materials for Statistical Methods in Water Resources (Helsel and others, 2020b) was used to calculate the Theil–Sen line. This script provides the calculated Theil–Sen slope, upper and lower 95-percent confidence intervals of the slope, and the y-intercept of the Theil–Sen line. The correlation test was not done for tests with tied data that dropped the number of available ranked months below a minimum threshold of n=10; in these instances, all data are recorded as NA (not assessed).

Methods  11

Flood Frequency Flood frequency analyses were done on East Canyon Creek and McLeod Creek to estimate the Pearson Type III distribution parameters and determine flood frequency. The Expected Moments Algorithm provides a direct fit of the distribution using annual peak streamflow data (fig. 4) and adjustments for potentially influential low floods; these methods are detailed in USGS Bulletin 17C (England and others, 2018). The companion software program developed by the USGS (Flynn and others, 2006; Veilleux and others, 2014), PeakFQ (version 7.4.1), uses annual peak flows to calculate annual exceedance probabilities. Although the streamgage records on East Canyon Creek at USGS streamgages 10133650 (WY 2003), 10133800 (WY 2002), and 10133980 (WY 2008) are relatively short, they still exceed the minimum suggested record length of 10 years (U.S. Geological Survey, 2019) and produce recurrence intervals with adequate confidence. Data through WY 2022 were included

in the analyses. The USGS streamgage on McLeod Creek (10133600) was established in 1991 and had a 7-year hiatus in monitoring between 1997 and 2002; all available complete WYs are incorporated into the analysis. Annual peak discharge has typically occurred in the late spring or early summer during the period of record. Kenney and others (2007) provided additional work on flood frequency for streams and rivers in Utah including East Canyon Creek. Annual exceedance probability indicates the probability that measured streamflow will be equaled or exceeded in a given year, whereas a flood recurrence interval is the number of years before a flood of a given magnitude is statistically likely to recur. The AEP is used in this study. The flood recurrence interval (for example, a 100-year flood) has become a less commonly used indicator of flood frequency because it can be misleading with respect to the imminence or absence of flooding.

Annual peak streamflow, in cubic feet per second

1,000

100

10 1990

1994

1998

2002

2006

2010

2014

2018

2022

Water year EXPLANATION Mcleod Creek Near Park City, UT–10133600 E Canyon CR BL I-80 Rest Stop NR Park City, UT –10133650

East Canyon Creek Near Jeremy Ranch, UT–10133800 East Canyon Creek AB East Cyn Res NR Morgan, Utah–10133980

Figure 4. Annual peak streamflow on a logarithmic scale by water year at U.S. Geological Survey streamgages on McLeod Creek and East Canyon Creek (U.S. Geological Survey, 2024). These data are used for the Expected Moments Algorithm to determine flood frequency. A water year is the 12-month period from October 1 through September 30 of the following year and is designated by the calendar year in which it ends.

12   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah

Results This section summarizes the results of baseflow estimation; the relation between streamflow, baseflow, and climatological data at SNOTEL stations; and the flood frequency analysis on East Canyon Creek above East Canyon Reservoir. Baseflow estimation and trend and correlation test results are available as a data release at https://doi.org/​10.5066/​P14SJDMX (Root, 2025).

Baseflow Estimation by Conductivity Mass Balance Hydrograph Separation Baseflow was estimated at three USGS streamgages (10133650, 10133800, and 10133980) on East Canyon Creek. Daily baseflow (fig. 5), mean daily baseflow (fig. 6), and annual and seasonal BFI (table 3) were calculated by conductivity mass balance hydrograph separation and associated calculations at each streamgage. The annual streamflow and baseflow volume delivered to East Canyon Reservoir at USGS streamgage 10133980 ranged from approximately 16,800 to 92,000 and 11,000 to 60,000 acre-feet (acre-ft), respectively. These values were based on the annual mean discharge at the streamgage according to annual statistics for the period of record (U.S. Geological Survey, 2024). Though streamflow and baseflow proportionally increased at streamgages downstream as East Canyon Creek gains from its tributaries, the contribution from baseflow to streamflow decreased by about 10 percent (table 3). The streamflow and baseflow volumes increased by a factor of approximately 3 from the most upstream USGS streamgage (10133650) to the most downstream USGS streamgage (10133980). The annual BFI ranged between 0.592 and 0.697, and all sites demonstrated a consistent response to seasonal change in hydrology over the course of the water year. At the beginning of the water year (October 1), baseflow was the dominant component of streamflow through the winter (BFI=0.751–0.835; table 3). Streamflow and baseflow values then increased in parallel during spring runoff (BFI=0.712–0.814; table 3) until late spring–summer when baseflow values declined as runoff values continued to increase. While streamflow declined throughout the summer, baseflow decreased in parallel through the remainder of the water year (BFI=0.428–0.532; table 3). The annual variance, measured by standard deviation, of baseflow estimates ranged from 15 to 18 percent (table 3). The mean daily streamflow and baseflow on East Canyon Creek represented the general relation between streamflow components throughout the water year (fig. 6). Though the

actual mean daily streamflows or baseflows were dependent on annual snowpack and were highly variable in magnitude year-to-year (fig. 5), the relation (or BFI) between streamflow and baseflow largely remained constant during the winter but was more susceptible to fluctuation during the summer (fig. 7). The effect of effluent on baseflow at the two downstream sites was not assessed by statistical means, though its cumulative impact was qualitatively determined to be minimal at annual timescales. However, low flows during the summer months may incorrectly underestimate the daily baseflow component of streamflow at the USGS streamgage upstream from East Canyon Reservoir (10133980). Because the daily SC of effluent was estimated by linear interpolation of a monthly value, which also was converted from TDS, the suitability of estimating daily SC decreases when the streamflow is nearly equal to the effluent discharge. These circumstances resulted in underestimating the BFI, down to nearly zero, on low flow days (fig. 7).

Trends in Annual and Seasonal Streamflow, Baseflow, and Climatological Data The Mann–Kendall test for trends was done at annual timesteps for USGS streamgages and SNOTEL sites. Statistically significant trends on annual timesteps were not detected from streamgage or SNOTEL data (fig. 8). At the annual scale, the records were likely too short to develop statistically significant trends. Probability is represented by p-value and can be used to initially test for assessing statistical significance. A level of significance of 0.05 (α=0.05) was used to determine statistical significance for trend results; Mann-Kendall test results indicate that statistically significant annual trends were not detected. Corrections for autocorrelation did not appreciably change the results of the annual trend tests. Tabular test results are available at https://doi.org/​10.5066/​P14SJDMX (Root, 2025). Monthly trend tests or Seasonal–Regional Kendall tests identified statistically significant trends, particularly with respect to streamflow and baseflow. Monthly mean streamflows and baseflows at USGS streamgages 10133650 (uncorrected p-values of 7.08E−4 and 2.71E−6, respectively) and 10133980 (uncorrected p-values of 0.011 and 0.015, respectively) had decreasing trends over the period of record (WYs 2011–22). U.S. Geological Survey streamgage 10133800 showed less likelihood of a trend in monthly mean streamflow and baseflow, with uncorrected p-values of 0.046 and 0.138, respectively. Monthly mean temperature at SNOTEL station 814 indicated a positive trend and was the only climate variable with a statistically significant trend (uncorrected p-value of 0.024). When SNOTEL attributes

Results  13

250 200

E Canyon CR (USGS station 10133650, BL I-80 Rest Stop NR Park City, UT)

A

150 100

Discharge, in cubic feet per second

50 0 400 320

East Canyon Creek (USGS station 10133800, Near Jeremy Ranch, UT)

B

240 160 80 0 750 600

East Canyon Creek (USGS station 10133980, AB East Cyn Res NR Morgan, Utah)

C

450 300 150 0 2009

2011

2013

2015

2017

2019

2021

2023

Water year EXPLANATION

Daily streamflow

Daily baseflow

Figure 5. Daily streamflow (blue) and daily estimated baseflow (red) for U.S. Geological Survey (USGS) streamgages (U.S. Geological Survey, 2024) at A, E Canyon CR BL I-80 Rest Stop NR Park City, UT (10133650); B, East Canyon Creek Near Jeremy Ranch, UT (10133800); and C, East Canyon Creek AB East Cyn Res NR Morgan, Utah (10133980). A water year is the 12-month period from October 1 through September 30 of the following year and is designated by the calendar year in which it ends.

were tested with streamgage data as response covariables, only seven instances, including maximum precipitation recorded during each month at SNOTEL station 814 with baseflow as the response covariables at USGS streamgage 10133650 (fig. 9), indicated significant trends may be present. Only two of these instances had corrected p-values below 0.05: (1) mean temperature at SNOTEL station 814 with a response covariable of BFI at USGS streamgage 10133800 (corrected partial p-value of 0.049) and (2) total number of days in a month where SWE loss is recorded at SNOTEL station 684 with a response covariable of streamflow at

USGS streamgage 10133650 (corrected partial p-value of 0.050). Other combinations of covariable pairs included streamgage-to-streamgage or streamgage-to-SNOTEL data (where SNOTEL data were the response covariable) that are intrinsically autocorrelated; these results were expected to produce the most statistically significant trends, thereby demonstrating the resiliency of the trend test. For example, monthly streamflow at USGS streamgage 10133650 tested for trend with a response covariable of streamflow at USGS streamgage 10133800 that resulted in an uncorrected partial p-value of 1.85E−4.

Discharge, in cubic feet per second

60

Discharge, in cubic feet per second

100

Discharge, in cubic feet per second

14   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah

150

E Canyon CR (USGS station 10133650, BL I-80 Rest Stop NR Park City, UT)

A

50 40 30 20 10 0 East Canyon Creek (USGS station 10133800, Near Jeremy Ranch, UT)

B

80 60 40 20 0 East Canyon Creek (USGS station 10133980, AB East Cyn Res NR Morgan, Utah)

C

120 90 60 30

0 October 01

J anuary 01

April 01

J uly 01

October 01

Day of water year EXPLANATION Mean daily streamflow

Mean daily baseflow

Figure 6. Mean daily streamflow (blue) and estimated baseflow (red) for U.S. Geological Survey (USGS) streamgages (U.S. Geological Survey, 2024) at A, E Canyon CR BL I-80 Rest Stop NR Park City, UT (10133650); B, East Canyon Creek Near Jeremy Ranch, UT (10133800); and C, East Canyon Creek AB East Cyn Res NR Morgan, Utah (10133980). These data represent the mean for all available daily values on each day of the water year for the period of record. A water year is the 12-month period from October 1 through September 30 of the following year and is designated by the calendar year in which it ends.

Results  15 Table 3. Annual and seasonal baseflow indices (BFI) and standard deviations at U.S. Geological Survey (USGS) streamgages 10133650, E Canyon CR BL I-80 Rest Stop NR Park City, UT; 10133800, East Canyon Creek Near Jeremy Ranch, UT; and 10133980, East Canyon Creek AB East Cyn Res NR Morgan, Utah (U.S. Geological Survey, 2024). [Runoff (February–April) effects on specific conductance and effluent from the East Canyon Water Reclamation Facility are accounted for in these results. Spring, February–April; summer, May–August; fall-winter, October–January. Abbreviation: ID, identification]

USGS station ID

BFI

Standard Deviation of BFI

Fall–Winter

Spring

Summer

Annual

Fall–Winter

Spring

Summer

10133650

0.697

0.835

0.814

0.532

0.153

0.087

0.111

0.094

10133800

0.592

0.751

0.712

0.428

0.183

0.141

0.149

0.086

10133980

0.655

0.792

0.774

0.497

0.169

0.108

0.163

0.097

2017

2019

2021

B

Daily baseflow index

A

Snow-water equivalent at SNOTEL station 684, in millimeters

Annual

800 600 400 200 0

1.0 0.8 0.6 0.4 0.2 0 2009

2011

2013

2015

2023

Water year EXPLANATION E Canyon CR BL I-80 Rest Stop NR Park City, UT–10133650 East Canyon Creek Near Jeremy Ranch, UT–10133800 East Canyon Creek AB East Cyn Res NR Morgan, Utah–10133980

Figure 7. Time series of A, snow-water equivalent at the Parleys Summit snow telemetry (SNOTEL) station (684; U.S. Department of Agriculture, National Water and Climate Center, 2025) and B, daily baseflow index (BFI) for U.S. Geological Survey streamgages (U.S. Geological Survey, 2024) at E Canyon CR BL I-80 Rest Stop NR Park City, UT (10133650), East Canyon Creek Near Jeremy Ranch, UT (10133800), and East Canyon Creek AB East Cyn Res NR Morgan, Utah (10133980). Baseflow may be overestimated on some days and exceed a ratio of 1.0 of baseflow to streamflow; in these instances, the BFI is capped at 1.0 for visual representation. A water year is a one-year period from October 1 through September 30 of the following year and is named for the year in which the period ends.

Annual mean baseflow, in cubic feet per second

Annual mean streamflow, in cubic feet per second

16   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah 120

A

80

40

0.537

0.631 0.193

0 75

B

50

25

0.373 0.631 0.115

0 2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

Water year

EXPLANATION Theil-Sen line E Canyon CR BL I-80 Rest Stop NR Park City, UT–10133650 East Canyon Creek Near Jeremy Ranch, UT–10133800 East Canyon Creek AB East Cyn Res NR Morgan, Utah–10133980

E Canyon CR BL I-80 Rest Stop NR Park City, UT–10133650 East Canyon Creek Near Jeremy Ranch, UT–10133800 East Canyon Creek AB East Cyn Res NR Morgan, Utah–10133980

Figure 8. Annual time series for water years 2011–22 for A, annual mean streamflow and B, annual mean baseflow for U.S. Geological Survey streamgages (U.S. Geological Survey, 2024) at E Canyon CR BL I-80 Rest Stop NR Park City, UT (10133650), East Canyon Creek Near Jeremy Ranch, UT (10133800), and East Canyon Creek AB East Cyn Res NR Morgan, Utah (10133980) with the Theil–Sen line for each respective dataset. Numbers along the Theil–Sen line are p-values from the Mann–Kendall trend test that have been corrected for autocorrelation; the colors of these numbers correspond with their respective streamgage. A water year is a one-year period from October 1 through September 30 of the following year and is named for the year in which the period ends.

1,500

250

1,200

200

900

150

600

100

300

50

0 2011

2013

2015

2017

2019

2021

Monthly mean baseflow, in cubic feet per second

Cumulative water-year precipitation, in millimeters

Results  17

0 2023

Water year EXPLANATION Thaynes Canyon SNOTEL station–814

East Canyon Creek Near Jeremy Ranch, UT–10133800

E Canyon CR BL I-80 Rest Stop NR Park City, UT–10133650

East Canyon Creek AB East Cyn Res NR Morgan, Utah–10133980

Figure 9. Annual time series for water years 2011–22 illustrating the relations between cumulative precipitation through each water year at the Thaynes Canyon snow telemetry (SNOTEL) station (814; U.S. Department of Agriculture, National Water and Climate Center, 2025) and monthly mean baseflows for U.S. Geological Survey streamgages (USGS; U.S. Geological Survey, 2024) at E Canyon CR BL I-80 Rest Stop NR Park City, UT (10133650); East Canyon Creek Near Jeremy Ranch, UT (10133800); and East Canyon Creek AB East Cyn Res NR Morgan, Utah (10133980). A trend was not detected in the monthly precipitation record (p-value=0.843), though a potentially significant trend may be present with baseflow considered as a response covariable to precipitation. The p-values from the partial trend test for maximum precipitation recorded during each month at SNOTEL station 814 with baseflow response covariables at USGS streamgages 10133650, 10133800, and 10133980 are, respectively, 0.005, 0.125, and 0.358 (uncorrected for autocorrelation) or 0.161, 0.347, and 0.496 (corrected for autocorrelation). A water year is the 12-month period from October 1 through September 30 of the following year and is designated by the calendar year in which it ends.

18   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah

Correlations in Annual and Seasonal Streamflow, Baseflow, and Climatological Data The Kendall’s tau test for correlation yielded results that indicated strong correlations between streamgage and climatological SNOTEL data were present at annual and monthly timesteps. Tabular results of the correlation tests were summarized in a data release at https://doi.org/​10.5066/​P14SJDMX (Root, 2025). The strongest correlation was between annual streamflow at USGS streamgage 10133650 and annual peak SWE at SNOTEL station 814. This pair was the only test for annual data that indicated a strong linear correlation by Kendall’s tau (0.709), though there was strong evidence (p-values between 0.002 and 0.017) with a high probability of correlation for streamflow and baseflow at all streamgages with peak SWE and cumulative precipitation at SNOTEL station 814. These test statistics were used as a guide for correlations that may be statistically significant and do not substantiate a definite relation. Correlation test results at monthly timesteps highlighted many statistically significant correlations between streamgage and climatological SNOTEL data. Among the strongest correlations were spring streamflow and baseflow with winter precipitation and SWE (fig. 10). This correlation was strongest between streamflow and baseflow at downstream USGS streamgages 10133800 and 10133980; USGS streamgage 10133650 had a comparatively weaker correlation

between streamflow and baseflow in the late spring months (April–May) with maximum monthly precipitation and SWE at SNOTEL station 814 in the winter (January–March). Because all streamgage and SNOTEL attributes were tested against one another every month, some results indicated a false correlation between intrinsically unrelated measures such as spring streamflow and summer precipitation.

Flood Frequency Table 4 summarizes estimates of flood frequency on East Canyon Creek. The results provide flood frequency data in terms of AEP and recurrence interval for East Canyon Creek and McLeod Creek above East Canyon Reservoir. The highest annual peak streamflow in the period of record at all streamgages (figs. 4, 11) was 876 ft3/s, recorded on April 18, 2011, at USGS streamgage 10133980 (U.S. Geological Survey, 2024). This peak streamflow indicated a flood with an AEP of approximately 6.2 percent. Because this peak streamflow represented the upper end of recorded streamflows, the upper and lower confidence limits widened without additional data. For this event, the AEP may have been as high or low as approximately 11 or 0.4 percent, respectively. Further upstream on East Canyon Creek or McLeod Creek, the range of possible peak streamflows with low AEP narrowed.

Results  19 A

Mean baseflow in May, in cubic feet per second

Mean streamflow in May, in cubic feet per second

500 400

EXPLANATION

300

Theil-Sen line, Kendall’s τ≥0.7 Theil-Sen line, Kendall’s τ<0.7

200 100

Monthly data points for USGS streamgage 10133650 (E Canyon CR BL I-80 Rest Stop NR Park City, UT)

0

Monthly data points for USGS streamgage 10133800 (East Canyon Creek Near Jeremy Ranch, UT)

160

Monthly data points for USGS streamgage 10133980 (East Canyon Creek AB East Cyn Res NR Morgan, Utah)

120 80 40 0 200

270

340

410

480

550

250

Maximum cumulative precipitation in October 1 through January at SNOTEL station 684, in millimeters B

320

390

460

530

Maximum snow-water equivalent in October 1 through March at SNOTEL station 684, in millimeters

600

Mean baseflow in May, in cubic feet per second

Mean streamflow in May, in cubic feet per second

500 400

EXPLANATION

300

Theil-Sen line, Kendall’s τ≥0.7

200

Theil-Sen line, Kendall’s τ<0.7

100

Monthly data points for USGS streamgage 10133650 (E Canyon CR BL I-80 Rest Stop NR Park City, UT)

0

Monthly data points for USGS streamgage 10133800 (East Canyon Creek Near Jeremy Ranch, UT)

160

Monthly data points for USGS streamgage 10133980 (East Canyon Creek AB East Cyn Res NR Morgan, Utah)

120 80 40 0 200

290

380

470

560

650

Maximum cumulative precipitation in October 1 through January at SNOTEL station 814, in millimeters

300

420

540

660

780

Maximum snow-water equivalent in October 1 through March at SNOTEL station 814, in millimeters

900

Figure 10. Scatterplots relating monthly precipitation and snow-water equivalent from winter months with spring streamflow and baseflow, with the Theil–Sen line providing an indication of statistical significance for correlation at snow telemetry (SNOTEL) stations A, 684 and B, 814. These scatterplots provide examples where SNOTEL data (U.S. Department of Agriculture, National Water and Climate Center, 2025) from one station may strongly correlate with streamflow and baseflow, whereas the other SNOTEL station may not strongly correlate with streamflow and baseflow. Abbreviation: USGS, U.S. Geological Survey.

20   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah Table 4. Annual exceedance probabilities (AEPs) and recurrence intervals for flood frequency on East Canyon Creek at U.S. Geological Survey (USGS) streamgages: 10133600, Mcleod Creek Near Park City, UT; 10133650, E Canyon CR BL I-80 Rest Stop NR Park City, UT; 10133800, East Canyon Creek Near Jeremy Ranch, UT; and 10133980, East Canyon Creek AB East Cyn Res NR Morgan, Utah (U.S. Geological Survey, 2024). [ft3/s, cubic feet per second; Q, discharge; Q5, lower 5th percentile discharge; Q95, upper 95th percentile discharge]

AEP (percent)

USGS station

Recurrence interval (years)

10133600

10133650

10133800

10133980

Q (ft3/s)

Q5 (ft3/s)

Q95 (ft3/s)

Q (ft3/s)

Q5 (ft3/s)

Q95 (ft3/s)

Q (ft3/s)

Q5 (ft3/s)

Q95 (ft3/s)

Q (ft3/s)

Q5 (ft3/s)

Q95 (ft3/s)

99.5

1.005

15

10

20

24

8

37

58

29

82

69

32

107

50.0

2

57

48

67

112

88

142

193

156

240

202

151

277

20.0

5

87

73

109

183

144

245

307

246

414

346

248

563

10.0

10

108

89

141

236

183

349

397

311

599

477

334

957

4.0

25

137

109

189

309

232

544

529

397

993

697

456

2,097

2.0

50

159

124

227

367

267

749

640

461

1,485

906

554

4,014

1.0

100

181

139

269

428

298

1,019

762

525

2,260

1,162

660

6,872

0.5

200

205

154

315

493

327

1,375

898

590

3,235

1,474

773

11,870

0.2

500

237

174

380

585

362

2,031

1,100

677

5,025

1,995

938

24,550

0.1

1,000

263

190

434

659

387

2,723

1,272

743

6,995

2,490

1,074

42,690

A

B

Annual peak streamflow, in cubic feet per second

Recurrence interval, in years

Annual peak streamflow, in cubic feet per second

C

1.005 1.0204 10,000 1,000

1.11

1.33 1.67 2.5

5

20

Recurrence interval, in years 50

1.005 1.0204 10,000

200 1,000

USGS station 10133600, Mcleod Creek Near Park City, UT

1,000

100

100

10

10

1

1

D

10,000 1,000

USGS station 10133800, East Canyon Creek Near Jeremy Ranch, UT

10,000 1,000

10

100

99.5

98 95 90

75 60

40

20 10 5

2

0.5

1.33 1.67 2.5

5

20

50

200 1,000

2

0.5

USGS station 10133650, E Canyon CR BL I-80 Rest Stop NR Park City, UT

100,000

100

1

1.11

0.1

Annual exceedance probability, in percent

USGS station 10133980, East Canyon Creek AB East Cyn Res NR Morgan, Utah

10

99.5 98 95 90

75 60

40

20 10 5

0.1

Annual exceedance probability, in percent

EXPLANATION Fitted frequency curve

Upper and lower 95-percent confidence intervals

Measured peak discharge at streamgage

Figure 11. Annual exceedance probabilities and recurrence intervals at U.S. Geological Survey streamgages (U.S. Geological Survey, 2024) are shown in the following locations: A, Mcleod Creek Near Park City, UT (10133600); B, E Canyon CR BL I-80 Rest Stop NR Park City, UT (10133650); C, East Canyon Creek Near Jeremy Ranch, UT (10133800); and D, East Canyon Creek AB East Cyn Res NR Morgan, Utah (10133980). The circles represent the annual peak streamflow from figure 4, with a fitted frequency curve (red) and calculated upper and lower 95-percent confidence intervals (blue).

Discussion on Baseflow Estimation, Trend and Correlation Analysis, and Forecasting Streamflow   21

Discussion on Baseflow Estimation, Trend and Correlation Analysis, and Forecasting Streamflow Baseflow Estimation The spatial distributions of streamflow and baseflow volumes varied downstream, whereas the drainage areas increased and East Canyon Creek gained flow from its tributaries. The median annual streamflow volume and annual baseflow volume at each streamgage did not linearly increase downstream. The streamflow volume (table 5) that entered East Canyon Reservoir (10133980) was approximately 28 percent greater than the streamflow volume below ECWRF (10133800) despite the drainage area nearly doubling from 57.2 to 107 mi2. This relation is not strongly affected by year-to-year fluctuations in snowpack or precipitation because the ratio of annual streamflow and baseflow volume delivered to East Canyon Reservoir does not appreciably change with magnitude (table 5). However, patterns in baseflow at the lowermost USGS streamgage above East Canyon Reservoir (10133980) were often inconsistent with patterns in baseflow at the upper two USGS streamgages (10133650 and 10133800) during the summer months, particularly with respect to a decrease in BFI (fig. 7). This decrease was often associated with low flows. Although the annual effluent contribution from ECWRF is a small fraction of total streamflow volume in East Canyon Creek, it may be a substantial component of streamflow during seasonal periods with low flow. Baseflow estimation would be unquantifiable without accounting for effluent by mass balance during seasonal low-flow periods while streamflow decreases during the winter. The path of East Canyon Creek between the uppermost USGS streamgage (10133650) and East Canyon Reservoir does not pass through urban sources of contaminants, although this stretch has historically been used for ranching and subjected to water diversions (Brooks and others, 1998; Wilkowske, 2005). One such pumped diversion includes the Glenwild Golf Club (not shown on figures) which

is north of East Canyon Creek between USGS streamgages 10133650 and 10133800. There is a housing development in the Jeremy Ranch community (not shown on figures) and a second golf course, Jeremy Ranch Golf and Country Club (not shown on figures), that East Canyon Creek runs through, though the contribution to salinity from irrigation on the golf course is not known. The primary source for contaminants likely remains I-80, where East Canyon Creek runs parallel to I-80 between USGS streamgages 10133650 and 10133800. Below Jeremy Ranch, much of these lands have been used for ranching dating back to the 19th century (Halverson, 2012), and no significant agricultural districts on East Canyon Creek are noted before reaching the USGS streamgage above East Canyon Reservoir. The drainage areas represented by USGS streamgages that measure continuous SC on East Canyon Creek increase downstream from 42.1 (10133650) to 57.2 (10133800) to 107 mi2 (10133980). Streamflow and baseflow volume do not linearly increase in proportion from one streamgage to the next. The most upstream USGS streamgage in the reach (10133650) represents approximately 39.3 percent of the drainage area of the most downstream USGS streamgage above East Canyon Reservoir (10133980); streamflow and baseflow volumes at the USGS streamgage below I-80 (10133650) account for 39.3 and 41.8 percent, respectively, of the total volume above East Canyon Reservoir (10133980). Approximately 53.5 percent of the total drainage area is represented by the USGS streamgage below the ECWRF (10133800) but accounts for 71.8 and 64.9 percent of streamflow volume and baseflow volume at East Canyon Reservoir (10133980), respectively. The error bounds for baseflow allow for this disparity to decrease, although streamflow is a measured value and does not have the same level of uncertainty. East Canyon Creek flows out of the greater Jeremy Ranch region and enters a more constricted canyon with numerous tributaries that directly drain off adjacent slopes. This may indicate less surface water runoff is delivered to East Canyon Creek in the section between the lower two USGS streamgages (10133800 and 10133980) or a significant volume of streamflow in East Canyon Creek is diverted.

Table 5. Annual streamflow and baseflow volumes for the periods of record at U.S. Geological Survey (USGS) streamgages (U.S. Geological Survey, 2024) 10133650, E Canyon CR BL I-80 Rest Stop NR Park City, UT (2011–23); 10133800, East Canyon Creek Near Jeremy Ranch, UT (2002–23); and 10133980, East Canyon Creek AB East Cyn Res NR Morgan, Utah (2008–23). [Upper and lower end-member median volumes are calculated using the standard deviation of baseflow index (BFI) for each streamgage. Abbreviation: ID, identification]

Annual baseflow volume (acre-feet)

Annual BFI

Annual standard deviation of BFI

Median annual streamflow volume (acre-feet)

Median

Maximum

Minimum

10133650

0.697

0.153

9,847

6,864

8,370

5,357

10133800

0.592

0.183

17,993

10,652

13,944

7,359

10133980

0.655

0.169

25,052

16,409

20,643

12,175

USGS station ID

22   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah Seepage studies were done on East Canyon Creek between USGS streamgages 10133650 and 10133800 between 1983 and 2004. The first was done in a year with greater-than-average precipitation and found this reach of East Canyon Creek had a seepage gain of 2.7 ft3/s or 19 percent (Holmes and others, 1986). A second study (Brooks and others, 1998) reported a seepage loss through Kimball Junction using measurements between 1994 and 1995 (Downhour and Brooks, 1996). The third study found this section of East Canyon Creek is a slightly losing reach, with total seepage losses ranging from −1.9 to 0.3 ft3/s or 8 to −27 percent of streamflow at USGS streamgage 10133650 (Wilkowske, 2005). Using data from the full period of record at SNOTEL station 684 (1979–2023), the median annual peak SWE was 450.1 inches (in.). Water years 1983, 1994, 1995, and 2004 had peak SWE values of 690.9, 332.7, 370.8, and 414.0 in., respectively. The seepage rates for each study, and whether East Canyon Creek was gaining or losing in the respective reaches, coincided with the snowpack for the respective year. Streamflow and estimated baseflow during WYs 2011–22 did exhibit a strong positive correlation with snowpack and precipitation over the period of record. The BFI of East Canyon Creek indicates a baseflow-dominated hydrology, with upwards of 80 percent of total streamflow attributed to baseflow during the fall, winter, and spring (table 3); this characteristic is not regionally exclusive to East Canyon Creek and has been observed elsewhere in the Wasatch Mountains and nearby ranges (Rumsey and others, 2015). Trends in BFI were among the tested measures with the weakest statistical significance at annual or seasonal timescales, and those results may indicate the period of record was too short to characterize a trend if present. Because other streamgages on the eastern slopes of the Wasatch Mountains (which are partially located in the Upper Colorado River Basin) also indicate comparable BFI (0.55–0.92), the results from this study may further corroborate a regional hydrological characteristic (Rumsey and others, 2015). Overall, this study demonstrates that baseflow is a critical component of the regional hydrology on East Canyon Creek, and groundwater discharge represents a significant fraction of the total streamflow in the basin. The estimates of baseflow corroborate previous findings that higher elevation watersheds with greater total precipitation, steeper slopes, resilient snowpack, and sandy soils promote a greater baseflow component (Rumsey and others, 2015).

Trends and Correlations in Streamflow, Baseflow, and Climatological Data Seasonal-trend testing indicated that streamflow and baseflow on East Canyon Creek above East Canyon Reservoir have declined over the period of record, with changes in snowpack likely having a prominent role in this change. The annual peak SWE for the years in which baseflow was estimated (WYs 2011–22) was below average in 9 of 12 years at SNOTEL stations 684 and 814. The first year in the study period (WY 2011) had the highest peak SWE; the remaining record and any detected trends may thus be skewed negatively in response. The poor distribution of data likely limits the effectiveness of the Mann–Kendall test for trends using annual data, which were inconclusive for all measures. A longer and more representative sample population of climate data, more so than streamflow, are necessary for more substantiated trend analysis. Similar trend studies that incorporate a longer record from SNOTEL stations provide meaningful insight into a changing climate in the Wasatch Mountains (Hu and Nolin, 2020; Hale and others, 2023). Most relevant to East Canyon Creek, earlier melting in the Great Salt Lake basin (Hall and others, 2021) and lower ratios of SWE to winter precipitation are linked to significantly lower maximum SWE in the Wasatch Mountains during the period from 1984 to 2009 (Harpold and others, 2012) as streamflows and baseflows during the spring may negatively correlate with the number of days that record a loss in SWE in the same or preceding month at the Thaynes Canyon SNOTEL station 814 (fig. 12; Root, 2025). In these examples, the relations between streamflow or baseflow and the number of days with recorded loss of SWE in April at SNOTEL station 814 are not well defined. The Kendall’s tau (all below 0.7) and p-values (0.027–0.097) are in opposition regarding the significance of correlation. Earlier declines in streamflow may lead to a less resilient baseflow contribution during the summer (fig. 7) and increased reliance on runoff below ECWRF to sustain East Canyon Creek and, ultimately, East Canyon Reservoir. At seasonal timescales, changing climatic conditions in the Wasatch Mountains directly affect its tributaries including East Canyon Creek. This study aimed to characterize relations between streamflow and climate using robust statistical assessment limited to the period of record for baseflow estimation on East Canyon Creek. This timeframe (WYs 2011–22) constrains the long-term potential for trends in climatological data from SNOTEL stations and limits the strength of its results. Trends for all measures of climate, including precipitation and temperature, are inconclusive as single variable tests or in the presence of a covariable; however, the results here do not exclude possible trends in SNOTEL data for their full respective periods of record.

Discussion on Baseflow Estimation, Trend and Correlation Analysis, and Forecasting Streamflow   23 450

Mean streamflow in May, in cubic feet per second

Mean streamflow in April, in cubic feet per second

450

300

150

300

150

0 180

Mean baseflow in May, in cubic feet per second

Mean baseflow in April, in cubic feet per second

0 180

120

60

0

0

5

10

15

20

120

60

0

0

5

10

15

20

Number of days with recorded loss of snow-water equivalent in April at Thaynes Canyon SNOTEL station 814, in days EXPLANATION Theil-Sen line, Kendall’s τ<0.7 Monthly data points for U.S. Geological Survey (USGS) streamgage 10133650 (E Canyon CR BL I-80 Rest Stop NR Park City, UT)

Monthly data points for USGS streamgage 10133800 (East Canyon Creek Near Jeremy Ranch, UT) Monthly data points for USGS streamgage 10133980 (East Canyon Creek AB East Cyn Res NR Morgan, Utah)

Figure 12. Scatterplots of the number of days with a recorded loss of snow-water equivalent at the Thaynes Canyon snow telemetry (SNOTEL) station (814; U.S. Department of Agriculture, National Water and Climate Center, 2025) with spring streamflow and baseflow, with the Theil–Sen line providing an indication of statistical significance at U.S. Geological Survey streamgages (U.S. Geological Survey, 2024) E Canyon CR BL I-80 Rest Stop NR Park City, UT (10133650); East Canyon Creek Near Jeremy Ranch, UT (10133800); and East Canyon Creek AB East Cyn Res NR Morgan, Utah (10133980).

24   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah

Predictive Models for Streamflow and Baseflow Using SNOTEL Data Correlations of streamflow and baseflow with SNOTEL climatological data could be used to predict hydrological conditions. Though statistically significant trends are not well observed in this study, at least in part because of the length of instrumental record, strongly correlated pairs of streamflow or baseflow and SNOTEL data (particularly at monthly timesteps) provide a statistical framework that could support the development of flow forecasts on East Canyon Creek. Among the strongest correlations are those for winter snowpack and spring streamflow or baseflow (fig. 10). Results from the correlation tests provide all required inputs to build a regression using SNOTEL data to determine streamflow, baseflow, or BFI. The Theil–Sen line slope and y-intercept are used to construct regressions for streamflow or SNOTEL conditions: mVGAGE = m × mDSNOTEL + b(5) where mVGAGE

is a monthly value (streamflow, baseflow, or BFI) at a specified USGS streamgage;

Mean baseflow in May at USGS streamgage 10133800, in cubic feet per second

100

75

m mDSNOTEL b

is the slope of the Theil–Sen line; is the monthly data at a specified SNOTEL station; and is y-intercept of the Theil–Sen line.

Using monthly data and Theil–Sen line results from the supplemental data release of this study as an example (fig. 13; Root, 2025), the January maximum SWE at the Parleys Summit SNOTEL station (684) strongly correlates (Kendall’s tau=0.901; p-value=6.70E−05) with the May baseflow at the streamgage nearest the ECWRF (USGS streamgage 10133800). The Theil–Sen line (for the pair mentioned above) has a slope of 0.145 with lower and upper 95-percent confidence interval slopes of 0.073 and 0.277, respectively, and a y-intercept of −15.9. The slope and intercept estimate of the Theil–Sen line may be used to predict streamflow given a SNOTEL variable. The median maximum SWE in January during WYs 2011–22 is 254 millimeters (mm); using this value in the equation above, the mean monthly baseflow for May at USGS streamgage 10133800 is estimated as 20.9 ft3/s with lower and upper 95-percent confidence interval bounds of 2.63 ft3/s and 54.5 ft3/s, respectively.

p-value=6.70x10–5 Kendall’s τ=0.901

50

25

0 150

200

250

300

350

Maximum SWE in January at SNOTEL station 684, in millimeters EXPLANATION Theil-Sen line

Predicted points on Theil-Sen line

Upper and lower 95-percent confidence interval lines

Predicted upper and lower 95-percent confidence interval points

Monthly data points (2011–22)

Figure 13. The distribution and Theil-Sen slope relation between mean monthly baseflow in May at U.S. Geological Survey (USGS) streamgage 10133800 on East Canyon Creek (U.S. Geological Survey, 2024) and maximum snow-water equivalent (SWE) in January at snow telemetry (SNOTEL) station 684 (U.S. Department of Agriculture, National Water and Climate Center, 2025).

References Cited  25

Summary This study was done in cooperation between the U.S. Geological Survey (USGS) and the Snyderville Basin Water Reclamation District. The study estimates the baseflow component of total streamflow for East Canyon Creek in Summit and Morgan Counties, Utah, using conductivity mass balance hydrograph separation during water years (WYs) 2011–22. The results provide information that could be applied to develop streamflow forecasts using snow telemetry (SNOTEL) data within the Snyderville Basin. Three USGS streamgages (10133650, 10133800, and 10133980) on the reach of East Canyon Creek have monitored continuous discharge and specific conductance (SC) since the beginning of WY 2011, providing the opportunity to characterize the hydrology over that timespan and assess potential change. Trends and correlation tests were done at annual and monthly timesteps using data from the streamgage and SNOTEL records. Peak annual streamflows were used for the duration of the discharge records, which extended beyond the SC record that limited baseflow estimation, to determine the potential for floods on East Canyon Creek. Baseflow was estimated at daily timesteps and is summarized in this report and a published data release. Baseflow indices, or the ratio of baseflow to total streamflow, were calculated at all streamgages with hydrograph separations and were highest during the fall through spring months (September–April) before declining during the summer (May–August). Although annual trend tests did not detect statistically significant trends in streamflow or SNOTEL data over the period of record, monthly trend tests indicated a decreasing trend in total streamflow and baseflow. Correlation tests yielded statistically significant results and highlighted situations where SNOTEL data precede streamflow. These relations could be further explored for forecasting hydrological conditions with respect to climate while compensating for year-to-year fluctuations in precipitation, snowpack, and temperature at different periods of a given year. The results shown in this report and continued monitoring could help water managers proactively respond to changing conditions in the East Canyon Creek watershed.

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Jenicek, M., Seibert, J., Zappa, M., Staudinger, M., and Jonas, T., 2016, Importance of maximum snow accumulation for summer low flows in humid catchments: Hydrology and Earth System Sciences, v. 20, no. 2, p. 859–874. [Available at https://doi.org/​10.5194/​hess-​20-​859-​2016.] Kenney, T.A., Wilkowske, C.D., and Wright, S.J., 2007, Methods for estimating magnitude and frequency of peak flows for natural streams in Utah: U.S. Geological Survey Scientific Investigations Report 2007–5158, 28 p., accessed June 3, 2024, at https://doi.org/​10.3133/​sir20075158. Levin, S.B., Briggs, M.A., Foks, S.S., Goodling, P.J., Raffensperger, J.P., Rosenberry, D.O., Scholl, M.A., Tiedeman, C.R., and Webb, R.M., 2023, Uncertainties in measuring and estimating water‐budget components— Current state of the science: WIREs Water, v. 10, no. 4, 33 p. [Available at https://doi.org/​10.1002/​wat2.1646.] Mann, H.B., 1945, Nonparametric tests against trend: Econometrica, v. 13, no. 3, p. 245–259, accessed June 3, 2024, at https://doi.org/​10.2307/​1907187. Marchetto, A., 2021, rkt—Mann–Kendall test, seasonal and regional Kendall tests (ver. 4.2.1): The comprehensive R archive network web page, accessed June 3, 2024, at https://CRAN.R-​project.org/​package=​rkt. Miller, M.P., Buto, S.G., Susong, D.D., and Rumsey, C.A., 2016, The importance of base flow in sustaining surface water flow in the Upper Colorado River Basin: Water Resources Research, v. 52, no. 5, p. 3547–3562, accessed June 3, 2024, at https://doi.org/​10.1002/​2015WR017963. Miller, M.P., Susong, D.D., Shope, C.L., Heilweil, V.M., and Stolp, B.J., 2014, Continuous estimation of baseflow in snowmelt-dominated streams and rivers in the Upper Colorado River Basin—A chemical hydrograph separation approach: Water Resources Research, v. 50, no. 8, p. 6986–6999, accessed June 3, 2024, at https://doi.org/​10.1002/​2013WR014939. Myers, D.T., Ficklin, D.L., and Robeson, S.M., 2023, Hydrologic implications of projected changes in rain-on-snow melt for Great Lakes Basin watersheds: Hydrology and Earth System Sciences, v. 27, no. 9, p. 1755–1770. [Available at https://doi.org/​10.5194/​hess-​27-​1755-​2023.]

References Cited  27 Pinder, G.F., and Jones, J.F., 1969, Determination of the ground-water component of peak discharge from the chemistry of total runoff: Water Resources Research, v. 5, no. 2, p. 438–445, accessed June 3, 2024, at https://doi.org/​10.1029/​WR005i002p00438.

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Reay, W.G., Gallagher, D.L., and Simmons, G.M., Jr., 1992, Groundwater discharge and its impact on surface water quality in a Chesapeake Bay inlet: Journal of the American Water Resources Association, v. 28, no. 6, p. 1121–1134. [Available at https://doi.org/​10.1111/​j.1752-​1688.1992.tb04023.x.] Root, J.C., 2025, Baseflow estimation and trend and correlation analysis results for East Canyon Creek, Summit and Morgan Counties, Utah, 2010–2022: U.S. Geological Survey data release. [Available at https://doi.org/​10.5066/​P14SJDMX.] Rumsey, C.A., Miller, M.P., and Sexstone, G.A., 2020, Relating hydroclimatic change to streamflow, baseflow, and hydrologic partitioning in the Upper Rio Grande Basin, 1980 to 2015: Journal of Hydrology, v. 584, accessed June 3, 2024, at https://doi.org/​10.1016/​j​.jhydrol.2​020.124715. Rumsey, C.A., Miller, M.P., Susong, D.D., Tillman, F.D., and Anning, D.W., 2015, Regional scale estimates of baseflow and factors influencing baseflow in the Upper Colorado River Basin: Journal of Hydrology—Regional Studies, v. 4, pt. B, p. 91–107, accessed June 3, 2024, at https://doi.org/​10.1016/​j.ejrh.2015.04.008. Sen, P.K., 1968, Estimates of the regression coefficient based on Kendall’s Tau: Journal of the American Statistical Association, v. 63, no. 324, p. 1379–1389, accessed June 3, 2024, at https://doi.org/​10.1080/​01​621459.196​8.10480934. Sklash, M.G., and Farvolden, R.N., 1979, The role of groundwater in storm runoff: Journal of Hydrology, v. 43, nos. 1–4, p. 45–65, accessed February 10, 2025, at https://doi.org/​10.1016/​0022-​1694(79)90164-​1.

U.S. Geological Survey, 2019, Specific conductance: U.S. Geological Survey Techniques and Methods, book 9, chap. A6.3, 15 p., accessed June 3, 2024, at https://doi.org/​10.3133/​tm9A6.3. U.S. Geological Survey, 2022, National hydrography dataset (NHD) plus high resolution: U.S. Geological Survey web interface, accessed June 3, 2024, at h​ttps://www​.usgs.gov/​ national-​hydrography/​access-​national-​hydrography-​ products. U.S. Geological Survey, 2024, USGS water data for the nation: U.S. Geological Survey National Water Information System database, accessed June 3, 2024, at https://doi.org/​10.5066/​F7P55KJN. U.S. Water Resources Council, 1967, A uniform technique for determining flood flow frequencies: Washington, D.C., U.S. Water Resources Council Bulletin No. 15, 15 p. [Available at htt​ps://water​.usgs.gov/​osw/​bulletin17b/​ Bulletin_​15_​1967.pdf.] Veilleux, A.G., Cohn, T.A., Flynn, K.M., Mason, R.R., Jr., and Hummel, P.R., 2014, Estimating magnitude and frequency of floods using the PeakFQ 7.0 program: U.S. Geological Survey Fact Sheet 2013–3108, 2 p., accessed April 16, 2024, at https://doi.org/​10.3133/​fs20133108. Wilkowske, C.D., 2005, Seepage study of McLeod Creek and East Canyon Creek near Park City, Summit County, Utah, 2004: U.S. Geological Survey Scientific Investigations Report 2005–5164, 26 p., accessed May 18, 2022, at https://doi.org/​10.3133/​sir20055164.

28   Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah

Glossary annual exceedance probability Annual exceedance probability is the probability of a flood of a given magnitude being equaled or exceeded for any given year. baseflow Baseflow is the sustained flow of a stream in the absence of direct runoff. It includes natural and human-induced streamflows. Natural base flow is sustained largely by groundwater discharge. baseflow index Baseflow index, or BFI, is the ratio of total baseflow to total streamflow. chemical hydrograph separation Chemical hydrograph separation is an approach used to partition components of streamflow such as baseflow. conductivity mass balance Conductivity mass balance is a form of chemical hydrograph separation that uses daily streamflow and specific conductance values to estimate daily baseflow. discharge Discharge is the rate at which matter passes through a cross-section of a stream channel or other water body per unit of time. East Canyon Creek East Canyon Creek is a perennial snowmelt-dominated stream that lies in the Snyderville Basin of Summit and Morgan Counties, Utah. effluent Effluent is water that includes the suspended solids that are discharged back into the environment after wastewater treatment.

flood-frequency analysis Flood-frequency analysis provides information about the magnitude and frequency of flood discharges based on records of annual maximum instantaneous peak discharges collected at streamgages. In essence, flood-frequency analysis is used to estimate the probability of flooding at specific river locations. hydrograph A hydrograph shows streamflow measurements, including discharge and specific conductance, with respect to time. Kendall's tau correlation test Kendall's tau correlation test measures the strength of the monotonic relation between x and y and is a rank-based procedure. Mann–Kendall trend test The nonparametric Mann–Kendall test for trend determines if the central tendency of the variable of interest changes, in a monotonic fashion, with a time variable. PeakFQ PeakFQ is a software program developed by the USGS that uses annual peak flows to calculate annual exceedance probability. recurrence interval Recurrence interval, also referred to as return period, is the average time, usually expressed in years, between occurrences of hydrologic events of a specified type (such as exceedances of a specified high flow or non-exceedance of a specified low flow). The terms “return period” and “recurrence interval” do not imply regular cyclic occurrence. The actual times between occurrences vary randomly, with most of the times being less than the mean and a few being substantially greater than the mean.

Glossary  29 29 Regional Kendall trend test The Regional Kendall trend test is a set of Mann–Kendall trend tests applied to data from a set of monitoring locations that are near enough to each other that one may expect their data to be correlated across the sites. It operates in the same manner as the Seasonal Kendall test adjusted for serial correlation. runoff Runoff is the quantity of water that is discharged from a drainage basin during a given time period. Seasonal Kendall trend test The Seasonal Kendall trend test accounts for seasonality by computing the Mann–Kendall test for each season separately and combining the results. SNOTEL Snow telemetry (SNOTEL) stations represent a network composed of over 900 automated data collection sites in remote, high-elevation mountain watersheds in the western U.S. They are used to monitor snowpack, precipitation, temperature, and other climatic conditions. The data collected at SNOTEL sites are transmitted to a central database, called the Water and Climate Information System, where they are used to make water supply forecasts. snow-water equivalent Snow-water equivalent is the amount of water released as a liquid when snow is melted.

specific conductance Specific conductance is an indirect measure of the collective concentration of dissolved ions in a solution. It is defined as the electrical conductance of 1 cubic centimeter of a solution at 25 degrees Celsius. streamflow Streamflow is the discharge that occurs in a natural channel. Although the term “discharge” can be applied to the flow of a canal, the word “streamflow” uniquely describes the discharge in a surface stream course. streamgage Streamgages are sites on a stream, canal, lake, or reservoir where systematic observations of stage, discharge, or other hydrologic data are obtained. Theil–Sen line The Theil–Sen line is robust nonparametric model of the median of y given x. This line does not depend on the normality of residuals for validity of significance tests, and is not strongly affected by outliers, in contrast with other regressions such as the Ordinary Least Squares regression. water year A water year is the 12-month period for any given year from October 1 through September 30 of the following year and is named for the year in which the period ends.

For more information concerning the research in this report, contact the Director, Utah Water Science Center U.S. Geological Survey 2329 West Orton Circle Salt Lake City, Utah 84119-2047 801-908-5000 h​ttps://www​.usgs.gov/​centers/​ut-​water/​ Publishing support provided by the Science Publishing Network, Sacramento Publishing Service Center

Root and Rumsey—Estimation Rumsey—Estimation of Baseflow and Flooding Characteristics for East Canyon Creek, Utah—SIR Utah—SIR 2025–5003

ISSN 2328-0328 (online) https://doi.org/​10.3133/​sir20255003

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